ADAN 7735 Visual Analytics
This course is about the creation of high-quality data visualizations consistent with theory and best practice. The material emphasizes the application of theory to answer analytical and research questions. Students will use R, Python, Excel, R-Shiny, and other tools to produce production-quality static and dynamic visualizations from various data (including big data).
Course overview
- Department
- Advancing Studies
- School
- ADV
- Credits
- 3
- Level
- Graduate
- Offered
- Periodically
Course evaluations
- Course rating
- 4.40 / 5 · Very Good
- Instructor rating
- 4.60 / 5 · Excellent
- Terms evaluated
- 2
| Term | Instructor | Course overall | Instructor overall | Well organized | Clear learning objectives | Intellectually challenging | Helpful assignments | Applicable beyond course | Attendance necessary | Weekly effort | Responses |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Spring 2026 | Lawrence Fulton | 3.8 | 4.0 | 4.3 | 4.3 | 4.5 | 4.5 | 4.4 | 3.6 | 4–6 hrs/week | 8 of 13 |
| Fall 2025 | Lawrence Fulton | 4.8 | 5.0 | 4.8 | 4.9 | 4.8 | 4.9 | 4.8 | 3.7 | 7–9 hrs/week | 12 of 15 |